Easily document research data with the web-based TUM DataTagger. Safely upload data, collaborate, and tag with metadata — efficiently and sustainably.
Access
Save the date: Start your next-level research data management with the TUM DataTagger from 7 April 2025!
What is TUM DataTagger?
The TUM DataTagger is the central platform for collaborative research data management (RDM) at TUM. This web-based tool allows you to easily upload, structure, version, share, and annotate your data with metadata. Its transparent rights management enables flexible assignment of access and editing rights for all project partners. With the TUM DataTagger, collaboration in interdisciplinary teams is efficient, secure, and compliant with DFG guidelines.
Features
Practical Metadata Management
• Create metadata templates for a standardized vocabulary
• Flexible metadata assignment
• Annotate single files or in bulk
• Automated metadata assignment in projects and folders
Efficient Collaboration
• Interoperability for importing and exporting files, including assigned metadata
• Versioning of files and associated metadata
• Granular access and editing rights for TUM members and external project partners
• Context-based search and filter options
Secure Storage
• Storage in the Munich Science Network (MWN)
• Data loss protection with regular backups
• 50 GB tool storage per user
• Hosting on servers of the Leibniz Supercomputing Centre (LRZ)
Conception & Development
The TUM DataTagger is a web-based open-source software developed by the university library to meet the specific needs of researchers.
Conception: University Library, Department of Research Data Services
Development: ANEXIA® Internetdienstleistungs GmbH
Host: Leibniz Supercomputing Centre (LRZ)
Repository: GitHub
Support
For questions or suggestions regarding the TUM DataTagger, please visit our Wiki on BayernCollab(link is external) or contact datatagger@ub.tum.de(link sends e-mail).
